Employment of instrumented vehicles to identify real-time snowy weather conditions on freeways using supervised machine learning techniques – A naturalistic driving study-Reference-Cited by-同舟云学术

Employment of instrumented vehicles to identify real-time snowy weather conditions on freeways using supervised machine learning techniques – A naturalistic driving study

Published:2022-12 Issue:4 Volume:46 Page:525-536
ISSN:0386-1112
Container-title:IATSS Research
language:en
Short-container-title:IATSS Research

Author:

Ali Elhashemi M.,Ahmed Mohamed M.

Funder

American Association of State Highway and Transportation Officials

Transportation Research Board

Federal Highway Administration

Wyoming Department of Transportation

Publisher

Elsevier BV

Subject

General Engineering,Urban Studies,Safety Research,Transportation

Reference44 articles.

1. Assessment of interaction of crash occurrence, mountainous freeway geometry, real-time weather, and traffic data;Ahmed;Transp. Res. Record J. Transp. Res. Board,2012

2. Detection of critical safety events on freeways in clear and rainy weather using SHRP2 naturalistic driving data: parametric and non-parametric techniques;Ali;Saf. Sci.,2019

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